↓ Skip to main content

Accurate and objective determination of myalgic encephalomyelitis/chronic fatigue syndrome disease severity with a wearable sensor

Overview of attention for article published in Journal of Translational Medicine, November 2020
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
19 tweeters
facebook
4 Facebook pages

Readers on

mendeley
22 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Accurate and objective determination of myalgic encephalomyelitis/chronic fatigue syndrome disease severity with a wearable sensor
Published in
Journal of Translational Medicine, November 2020
DOI 10.1186/s12967-020-02583-7
Pubmed ID
Authors

Turner Palombo, Andrea Campos, Suzanne D. Vernon, Shad Roundy

Twitter Demographics

The data shown below were collected from the profiles of 19 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 14%
Researcher 3 14%
Student > Bachelor 2 9%
Professor > Associate Professor 2 9%
Student > Doctoral Student 2 9%
Other 1 5%
Unknown 9 41%
Readers by discipline Count As %
Computer Science 2 9%
Medicine and Dentistry 2 9%
Physics and Astronomy 2 9%
Business, Management and Accounting 1 5%
Nursing and Health Professions 1 5%
Other 6 27%
Unknown 8 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 September 2021.
All research outputs
#1,517,452
of 21,944,157 outputs
Outputs from Journal of Translational Medicine
#245
of 3,795 outputs
Outputs of similar age
#47,772
of 397,556 outputs
Outputs of similar age from Journal of Translational Medicine
#43
of 330 outputs
Altmetric has tracked 21,944,157 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,795 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 397,556 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 330 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.